Explore the vast range of titles available.

Background Monitoring the incidence and intensity of catastrophic health expenditure, as well as the impoverishing effects of out of pocket costs to access healthcare, is a key part of benchmarking Kenya’s progress towards reducing the financial burden that households experience when accessing healthcare. Methods The study relies on data from the nationally-representative Kenya Household Expenditure and Utilization Survey conducted in 2013 ( n =33,675). We undertook health equity analysis to estimate the incidence and intensity of catastrophic expenditure. Households were considered to have incurred catastrophic expenditures if their annual out of-pocket health expenditures exceeded 40% of their annual non-food expenditure. We assessed the impoverishing effects of out of pocket payments using the Kenya national poverty line. We distinguished between direct payments for healthcare such as payments for consultation, medicines, medical procedures, and total healthcare expenditure that includes direct healthcare payments and the cost of transportation to and from health facilities. We used logistic regression analysis to explore the factors associated with the incidence of catastrophic expenditures. Results When only direct payments to healthcare providers were considered, the incidence of catastrophic expenditures was 4.52%. When transport costs are included, the incidence of catastrophic expenditure increased to 6.58%. 453,470 Kenyans are pushed into poverty annually as a result of direct payments for healthcare. When the cost of transport is included, that number increases by more than one third to 619,541. Unemployment of the household head, presence of an elderly person, a person with a chronic ailment, a large household size, lower household social-economic status, and residence in marginalized regions of the country are significantly associated with increased odds of incurring catastrophic expenditures. Conclusions Kenyan policy makers should prioritize extending pre-payment mechanisms to more vulnerable groups, specifically the poor, the elderly, those suffering from chronic ailments and those living in marginalized regions of the country. The range of services covered under these mechanisms should also be extended such that the proportion of direct costs paid to access care is reduced. Policy makers should also prioritize reducing supply side bottlenecks such as availability of healthcare facilities in close proximity to the population, especially in rural and marginalized areas, and improvements in quality of care. For the poor and the vulnerable, initiatives to cover the cost of transport to and from a health facility, such as transport vouchers could also be explored.

Background Many low and middle income countries are implementing reforms to support Universal Health Coverage (UHC). Perhaps one of the most ambitious examples of this is Indonesia’s national health scheme known as the JKN which is designed to make health care available to its entire population of 255 million by end of 2019. If successful, the JKN will be the biggest single payer system in the world. While Indonesia has made steady progress, around a third of its population remains without cover and out of pocket payments for health are widespread even among JKN members. To help close these gaps, especially among the poor, the Indonesian government is currently implementing a set of UHC policy reforms that include the integration of remaining government insurance schemes into the JKN, expansion of provider networks, restructuring of provider payments systems, accreditation of all contracted health facilities and a range of demand side initiatives to increase insurance uptake, especially in the informal sector. This study evaluates the equity impact of this latest set of UHC reforms. Methods Using a before and after design, we will evaluate the combined effects of the national UHC reforms at baseline (early 2018) and target of JKN full implementation (end 2019) on: progressivity of the health care financing system; pro-poorness of the health care delivery system; levels of catastrophic and impoverishing health expenditure; and self-reported health outcomes. In-depth interviews with stakeholders to document the context and the process of implementing these reforms, will also be undertaken. Discussion As countries like Indonesia focus on increasing coverage, it is critically important to ensure that the poor and vulnerable - who are often the most difficult to reach – are not excluded. The results of this study will not only help track Indonesia’s progress to universalism but also reveal what the UHC-reforms mean to the poor.

Context: In India, health care is a local good, and households are the major source of financing it. Earlier studies have examined diverse determinants of health care spending, but no attempt has been made to understand the geographical variation in household and catastrophic health spending. We used multilevel modeling to assess the relative importance of villages, districts, and states to health spending in India. Methods: We used data on the health expenditures of 101,576 households collected in the consumption expenditure schedule (68th round) carried out by the National Sample Survey in 2011-2012. We examined 4 dependent variables: per-capita health spending (PHS), per-capita institutional health spending (PIHS), per-capita noninstitutional health spending (PNHS), and catastrophic health spending (CHS). CHS was defined as household health spending exceeding 40% of its capacity to pay. We used multilevel linear regression and logistic models to decompose the variation in each outcome by state, region, district, village, and household levels. Findings: The average PHS was 1,331 Indian rupees (INR), which varied by state-level economic development. About one-fourth of Indian households incurred CHS, which was equally high in both the economically developed and poorer states. After controlling for household level factors, 77.1% of the total variation in PHS was attributable to households, 10.1% to states, 9.5% to villages, 2.6% to districts, and 0.7% to regions. The pattern in variance partitioning was similar for PNHS. The largest interstate variation was found for CHS (15.9%), while the opposite was true for PIHS (3.2%). Conclusions: We observed substantial variations in household health spending at the state and village levels compared with India's districts and regions. The large variation in CHS attributable to states indicates interstate inequality in the accessibility to and cost of health care. Our findings suggest that contextual factors at the macro and micro political units are important to reduce India's household health spending and CHS.

Objective: to estimate the concentration of health spending depending on pathology groups and types of services in a subsidized insurance company which enrolled low-income people (social economic strata 1 and 2) in the Colombian Healthcare System in 2014. Methodology: Health spending was analyzed in 1 666 477 members, set up by pathologies and types of services during 2014. To describe the concentration of health spending, researchers used the Gini coefficient and the Lorenz curve. Results: the health spending of the insurance company was US418 million. Out of this, 81 % was used in service contained in the mandatory Health Plan (in Spanish, Plan Obligatorio de Salud -POS). The pathology groups that concentrated 43.4% of health spending were cardiovascular (14.3%), cancer (7.8%), respiratory diseases (7.3%), urinary diseases (7%) and trauma (6.9%). Diagnostic, healing and rehabilitation services represented 77.8% of health spending. Hospitalization was the service group with the highest impact on costs (47%), and consultations, the most used. The Lorenz curves showed that 70% of the health spending is concentrated in approximately 20% the Affiliated people, resulting in a 0.58 Gini coefficient. Conclusion: Diagnostic and treatment of chronic non-transmittable diseases concentrate a vast part of health spending, which produces a competition of resources for preventive services and healthcare promotion.

IntroductionGovernment health spending is a primary source of funding in the health sector across the world. However, in sub-Saharan Africa, only about a third of all health spending is sourced from the government. The objectives of this study are to describe the growth in government health spending, examine its determinants and explain the variation in government health spending across sub-Saharan African countries.MethodsWe used panel data on domestic government health spending in 46 countries in sub-Saharan Africa from 1995 to 2015 from the Institute for Health Metrics and Evaluation. A regression model was used to examine the factors associated with government health spending, and Shapley decomposition was used to attribute the contributions of factors to the explained variance in government health spending.ResultsWhile the growth rate in government health spending in sub-Saharan Africa has been positive overall, there are variations across subgroups. Between 1995 and 2015, government health spending in West Africa grew by 6.7% (95% uncertainty intervals [UI]: 6.2% to 7.0%) each year, whereas in Southern Africa it grew by only 4.5% (UI: 4.5% to 4.5%) each year. Furthermore, per-person government health spending ranged from $651 (Namibia) in 2017 purchasing power parity dollars to $4 (Central African Republic) in 2015. Good governance, national income and the share of it that is government spending were positively associated with government health spending. The results from the decomposition, however, showed that individual country characteristics made up the highest percentage of the explained variation in government health spending across sub-Saharan African countries.ConclusionThese findings highlight that a country’s policy choices are important for how much the health sector receives. As the attention of the global health community focuses on ways to stimulate domestic government health spending, an understanding that individual country sociopolitical context is an important driver for success will be key.

This is an exciting time in East Asia and the Pacific region. No region will appear to be moving so rapidly. In this dynamic environment, many countries in the region have been approaching the World Bank requesting technical assistance and knowledge about health financing best practices and options. There is great interest in expanding knowledge sharing and learning from other East Asian and Pacific countries about their experiences in health financing. Moreover, some common issues appear to be emerging: universal insurance, options for financing health insurance, institutional setups of health financing options, provider payment mechanisms, equity considerations, ways to reach the poor and impoverished, and ways to meet the challenges of a changing demographics and epidemiologic profile. Under a generous grant from the Health, Nutrition, and population hub in the World Bank in fiscal year 2008, the region was requested to provide an overview of health financing systems in the region. This overview examined the different health financing mechanisms in terms of performance on dimensions of efficiency and equity and in terms of relative roles of government. In addition, the analysis was to identify, gaps in knowledge needing to be addressed strengthen and reform existing health financing mechanisms and thereby expand health coverage and benefits.

Out-of-pocket and catastrophic health spending are key indicators for assessing the financial coverage of a health system. Out-of-pocket spending represents expenditures related to the health care of a household member, while catastrophic spending represents expenditures that constitute more than 30 % of the household’s ability to pay. Measurements in Mexico of out-of-pocket household spending show that it is an item that has not decreased from 2016 to 2018, the out-of-pocket household spending increased by 4 % real representing in 2018, 109 billion of Mexican pesos. Analysis of out-of-pocket spending by quintile shows that average monthly household spending on health is in the range of Q1- $17 to Q5-$ 1,900 pesos with high dispersion in the data (SD=1,446). The quantile regression shows that there are significant differences between the factors associated to out-of-pocket spending among the quintiles, especially due to the presence of chronic diseases in the household, belonging to the rural environment, the age of the head of the household and the total number of household members. The incidence of catastrophic spending represented 2.19 % [2.18-2.19, N=760,3030] of total households. According to the results of the logistic model, the incidence of catastrophic spending is mainly influenced by households that had hospital spending (OR=20.13) and maternity spending (OR=20.77). Affiliation with a health institution decreases the probability of incurring catastrophic spending (OR=0.93), and when households are segmented by income quintile, the incidence is higher in Q2 and Q4. Mainly affected by spending on hospitalization and maternal care.

Specialist groups have often advised health ministers and other decision makers in developing countries on the use of social health insurance (SHI) as a way of mobilizing revenue for health, reforming health sector performance, and providing universal coverage. This book reviews the specific design and implementation challenges facing SHI in low- and middle-income countries and presents case studies on Ghana, Kenya, Philippines, Colombia, and Thailand.

It has been more than 20 years since Brazil's 1988 Constitution formally established the Unified Health System (Sistema Unico de Saude, SUS). Building on reforms that started in the 1980s, the SUS represented a significant break with the past, establishing health care as a fundamental right and duty of the state and initiating a process of fundamentally transforming Brazil's health system to achieve this goal. This report aims to answer two main questions. First is have the SUS reforms transformed the health system as envisaged 20 years ago? Second, have the reforms led to improvements with regard to access to services, financial protection, and health outcomes? In addressing these questions, the report revisits ground covered in previous assessments, but also brings to bear additional or more recent data and places Brazil's health system in an international context. The report shows that the health system reforms can be credited with significant achievements. The report points to some promising directions for health system reforms that will allow Brazil to continue building on the achievements made to date. Although it is possible to reach some broad conclusions, there are many gaps and caveats in the story. A secondary aim of the report is to consider how some of these gaps can be filled through improved monitoring of health system performance and future research. The introduction presents a short review of the history of the SUS, describes the core principles that underpinned the reform, and offers a brief description of the evaluation framework used in the report. Chapter two presents findings on the extent to which the SUS reforms have transformed the health system, focusing on delivery, financing, and governance. Chapter three asks whether the reforms have resulted in improved outcomes with regard to access to services, financial protection, quality, health outcomes, and efficiency. The concluding chapter presents the main findings of the study, discusses some policy directions for addressing the current shortcomings, and identifies areas for further research.

Ghana has committed politically, legislatively, and fiscally to providing universal health insurance coverage for its population with the intent of reducing financial barriers to utilization of health care.. However, under current cost and enrollment projections the system will not be financially sustainable in the long term, so there is more work to do. This book provides an important evidence-based review of the current performance of Ghana's health system and options for reform. As such, it provides an overall picture of the Ghana health sector, how things were and how things have changed, as well as a situational analysis of the performance of the health delivery and health financing systems using the latest available data. Finally, it discusses key reform issues and options in the context of the country's likely fiscal space. An important and valuable contribution of this book is its examination of how Ghana is performing compared to its neighboring countries and compared to other countries with similar incomes and health spending, providing global benchmarks for Ghana's health system performance.